explain
select   
         w_warehouse_name
 	 ,w_warehouse_sq_ft
 	 ,w_city
 	 ,w_county
 	 ,w_state
 	 ,w_country
        ,ship_carriers
        ,year
 	,sum(jan_sales) as jan_sales
 	,sum(feb_sales) as feb_sales
 	,sum(mar_sales) as mar_sales
 	,sum(apr_sales) as apr_sales
 	,sum(may_sales) as may_sales
 	,sum(jun_sales) as jun_sales
 	,sum(jul_sales) as jul_sales
 	,sum(aug_sales) as aug_sales
 	,sum(sep_sales) as sep_sales
 	,sum(oct_sales) as oct_sales
 	,sum(nov_sales) as nov_sales
 	,sum(dec_sales) as dec_sales
 	,sum(jan_sales/w_warehouse_sq_ft) as jan_sales_per_sq_foot
 	,sum(feb_sales/w_warehouse_sq_ft) as feb_sales_per_sq_foot
 	,sum(mar_sales/w_warehouse_sq_ft) as mar_sales_per_sq_foot
 	,sum(apr_sales/w_warehouse_sq_ft) as apr_sales_per_sq_foot
 	,sum(may_sales/w_warehouse_sq_ft) as may_sales_per_sq_foot
 	,sum(jun_sales/w_warehouse_sq_ft) as jun_sales_per_sq_foot
 	,sum(jul_sales/w_warehouse_sq_ft) as jul_sales_per_sq_foot
 	,sum(aug_sales/w_warehouse_sq_ft) as aug_sales_per_sq_foot
 	,sum(sep_sales/w_warehouse_sq_ft) as sep_sales_per_sq_foot
 	,sum(oct_sales/w_warehouse_sq_ft) as oct_sales_per_sq_foot
 	,sum(nov_sales/w_warehouse_sq_ft) as nov_sales_per_sq_foot
 	,sum(dec_sales/w_warehouse_sq_ft) as dec_sales_per_sq_foot
 	,sum(jan_net) as jan_net
 	,sum(feb_net) as feb_net
 	,sum(mar_net) as mar_net
 	,sum(apr_net) as apr_net
 	,sum(may_net) as may_net
 	,sum(jun_net) as jun_net
 	,sum(jul_net) as jul_net
 	,sum(aug_net) as aug_net
 	,sum(sep_net) as sep_net
 	,sum(oct_net) as oct_net
 	,sum(nov_net) as nov_net
 	,sum(dec_net) as dec_net
 from (
    select 
    w_warehouse_name
    ,w_warehouse_sq_ft
    ,w_city
    ,w_county
    ,w_state
    ,w_country
    ,concat('DIAMOND', ',', 'AIRBORNE') as ship_carriers
        ,d_year as year
 	,sum(case when d_moy = 1 
 		  then ws_sales_price* ws_quantity else 0 end) as jan_sales
 		  ,sum(case when d_moy = 2 
 		  	    then ws_sales_price* ws_quantity else 0 end) as feb_sales
 			    ,sum(case when d_moy = 3 
 			    	      then ws_sales_price* ws_quantity else 0 end) as mar_sales
 				      ,sum(case when d_moy = 4 
 				      		then ws_sales_price* ws_quantity else 0 end) as apr_sales
 						,sum(case when d_moy = 5 
 							  then ws_sales_price* ws_quantity else 0 end) as may_sales
 							  ,sum(case when d_moy = 6 
 							  	    then ws_sales_price* ws_quantity else 0 end) as jun_sales
 								    ,sum(case when d_moy = 7 
 								    	      then ws_sales_price* ws_quantity else 0 end) as jul_sales
 									      ,sum(case when d_moy = 8 
 									      		then ws_sales_price* ws_quantity else 0 end) as aug_sales
 											,sum(case when d_moy = 9 
 												  then ws_sales_price* ws_quantity else 0 end) as sep_sales
 												  ,sum(case when d_moy = 10 
 												  	    then ws_sales_price* ws_quantity else 0 end) as oct_sales
 													    ,sum(case when d_moy = 11
 													    	      then ws_sales_price* ws_quantity else 0 end) as nov_sales
 														      ,sum(case when d_moy = 12
 														      		then ws_sales_price* ws_quantity else 0 end) as dec_sales
 																,sum(case when d_moy = 1 
 																	  then ws_net_paid_inc_tax * ws_quantity else 0 end) as jan_net
 																	  ,sum(case when d_moy = 2
 																	  	    then ws_net_paid_inc_tax * ws_quantity else 0 end) as feb_net
 																		    ,sum(case when d_moy = 3 
 																		    	      then ws_net_paid_inc_tax * ws_quantity else 0 end) as mar_net
 																			      ,sum(case when d_moy = 4 
 																			      		then ws_net_paid_inc_tax * ws_quantity else 0 end) as apr_net
 																					,sum(case when d_moy = 5 
 																						  then ws_net_paid_inc_tax * ws_quantity else 0 end) as may_net
 																						  ,sum(case when d_moy = 6 
 																						  	    then ws_net_paid_inc_tax * ws_quantity else 0 end) as jun_net
 																							    ,sum(case when d_moy = 7 
 																							    	      then ws_net_paid_inc_tax * ws_quantity else 0 end) as jul_net
 																								      ,sum(case when d_moy = 8 
 																								      		then ws_net_paid_inc_tax * ws_quantity else 0 end) as aug_net
 																										,sum(case when d_moy = 9 
 																											  then ws_net_paid_inc_tax * ws_quantity else 0 end) as sep_net
 																											  ,sum(case when d_moy = 10 
 																											  	    then ws_net_paid_inc_tax * ws_quantity else 0 end) as oct_net
 																												    ,sum(case when d_moy = 11
 																												    	      then ws_net_paid_inc_tax * ws_quantity else 0 end) as nov_net
 																													      ,sum(case when d_moy = 12
 																													      		then ws_net_paid_inc_tax * ws_quantity else 0 end) as dec_net
     from
          web_sales
         ,warehouse
         ,date_dim
         ,time_dim
 	   ,ship_mode
     where
            web_sales.ws_warehouse_sk =  warehouse.w_warehouse_sk
        and web_sales.ws_sold_date_sk = date_dim.d_date_sk
        and web_sales.ws_sold_time_sk = time_dim.t_time_sk
 	and web_sales.ws_ship_mode_sk = ship_mode.sm_ship_mode_sk
        and d_year = 2002
 	and t_time between 49530 and 49530+28800 
 	and sm_carrier in ('DIAMOND','AIRBORNE')
     group by 
        w_warehouse_name
 	,w_warehouse_sq_ft
 	,w_city
 	,w_county
 	,w_state
 	,w_country
       ,d_year
 union all
    select 
    w_warehouse_name
    ,w_warehouse_sq_ft
    ,w_city
    ,w_county
    ,w_state
    ,w_country
        ,concat('DIAMOND', ',', 'AIRBORNE') as ship_carriers
       ,d_year as year
       ,sum(case when d_moy = 1 
       		 then cs_ext_sales_price* cs_quantity else 0 end) as jan_sales
 		 ,sum(case when d_moy = 2 
 		 	   then cs_ext_sales_price* cs_quantity else 0 end) as feb_sales
 			   ,sum(case when d_moy = 3 
 			   	     then cs_ext_sales_price* cs_quantity else 0 end) as mar_sales
 				     ,sum(case when d_moy = 4 
 				     	       then cs_ext_sales_price* cs_quantity else 0 end) as apr_sales
 					       ,sum(case when d_moy = 5 
 					       		 then cs_ext_sales_price* cs_quantity else 0 end) as may_sales
 							 ,sum(case when d_moy = 6 
 							 	   then cs_ext_sales_price* cs_quantity else 0 end) as jun_sales
 								   ,sum(case when d_moy = 7 
 								   	     then cs_ext_sales_price* cs_quantity else 0 end) as jul_sales
 									     ,sum(case when d_moy = 8 
 									     	       then cs_ext_sales_price* cs_quantity else 0 end) as aug_sales
 										       ,sum(case when d_moy = 9 
 										       		 then cs_ext_sales_price* cs_quantity else 0 end) as sep_sales
 												 ,sum(case when d_moy = 10 
 												 	   then cs_ext_sales_price* cs_quantity else 0 end) as oct_sales
 													   ,sum(case when d_moy = 11
 													   	     then cs_ext_sales_price* cs_quantity else 0 end) as nov_sales
 														     ,sum(case when d_moy = 12
 														     	       then cs_ext_sales_price* cs_quantity else 0 end) as dec_sales
 															       ,sum(case when d_moy = 1 
 															       		 then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as jan_net
 																	 ,sum(case when d_moy = 2 
 																	 	   then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as feb_net
 																		   ,sum(case when d_moy = 3 
 																		   	     then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as mar_net
 																			     ,sum(case when d_moy = 4 
 																			     	       then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as apr_net
 																				       ,sum(case when d_moy = 5 
 																				       		 then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as may_net
 																						 ,sum(case when d_moy = 6 
 																						 	   then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as jun_net
 																							   ,sum(case when d_moy = 7 
 																							   	     then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as jul_net
 																								     ,sum(case when d_moy = 8 
 																								     	       then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as aug_net
 																									       ,sum(case when d_moy = 9 
 																									       		 then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as sep_net
 																											 ,sum(case when d_moy = 10 
 																											 	   then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as oct_net
 																												   ,sum(case when d_moy = 11
 																												   	     then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as nov_net
 																													     ,sum(case when d_moy = 12
 																													     	       then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as dec_net
     from
          catalog_sales
         ,warehouse
         ,date_dim
         ,time_dim
 	  ,ship_mode
     where
            catalog_sales.cs_warehouse_sk =  warehouse.w_warehouse_sk
        and catalog_sales.cs_sold_date_sk = date_dim.d_date_sk
        and catalog_sales.cs_sold_time_sk = time_dim.t_time_sk
 	and catalog_sales.cs_ship_mode_sk = ship_mode.sm_ship_mode_sk
        and d_year = 2002
 	and t_time between 49530 AND 49530+28800 
 	and sm_carrier in ('DIAMOND','AIRBORNE')
     group by 
        w_warehouse_name
 	,w_warehouse_sq_ft
 	,w_city
 	,w_county
 	,w_state
 	,w_country
       ,d_year
 ) x
 group by 
        w_warehouse_name
 	,w_warehouse_sq_ft
 	,w_city
 	,w_county
 	,w_state
 	,w_country
 	,ship_carriers
       ,year
 order by w_warehouse_name
 limit 100;

